Dev Ops/MLOps Engineer (Mumbai)

/p> AWS DevOps / MLOps Engineer Role Details - Experience: 7+ Years - Location: Mumbai Bandra Kurla Complex (BKC) - Work Mode: Hybrid (3 days/week from office) - Contract Duration: 12 Months (C2H) - Budget: Up to 1.70 LPM - Joining: Immediate Joiners Only - Interview Process: In -person interview (mandatory) Role Overview We are seeking a skilled AWS DevOps / MLOps Engineer with strong experience in cloud -native development, serverless architectures, and DevOps practices , along with exposure to AI/ML workloads on AWS . The ideal candidate should have hands -on expertise in building, deploying, and managing scalable applications and ML workflows , with a strong focus on automation, reliability, and performance . Key Responsibilities AWS & Cloud Engineering - Design, build, and maintain cloud -native applications using AWS serverless services . - Work extensively with Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch, S3, and Step Functions . - Manage and support AI/ML workloads and pipelines on AWS . DevOps & MLOps - Implement and manage CI/CD pipelines for application and ML deployments. - Develop and maintain infrastructure as code (IaC) using: - AWS CDK - Terraform - CloudFormation - Support model deployment, monitoring, and lifecycle management . - Enable automation across development, testing, and deployment cycles. Architecture & Development - Contribute to microservices and event -driven architectures . - Build and support backend/frontend components where required. - Ensure system scalability, reliability, and high availability. Monitoring & Troubleshooting - Implement monitoring, logging, and observability solutions . - Troubleshoot issues across infrastructure, applications, and ML pipelines . - Ensure adherence to cloud security and governance best practices . Mandatory Skills Strong hands -on experience with AWS services , including: - Lambda, API Gateway, DynamoDB, SQS - Cognito, CloudWatch, S3, Step Functions - AWS Glue - ECS / EKS Strong experience in DevOps practices and CI/CD pipelines Experience with MLOps / AI -ML workloads on AWS Expertise in Infrastructure as Code (CDK / Terraform / CloudFormation) Strong understanding of microservices and event -driven architecture Strong troubleshooting and debugging skills Programming Skills Proficiency in one or more of: - Python - Java - Golang - TypeScript Preferred Skills - Experience with test -driven development (TDD) - Familiarity with DevOps tooling ecosystem - Experience in scalable distributed systems - Exposure to monitoring and observability tools Soft Skills - Strong problem -solving and analytical skills - Good communication and collaboration skills - Ability to work independently and take ownership Key Expectations Solid AWS + DevOps + MLOps experience is mandatory Hands -on exposure to AI/ML workloads on AWS is required Candidate must be available for in -person interview in Mumbai (BKC) Immediate joiners Only /p> AWS DevOps / MLOps Engineer Role Details - Experience: 7+ Years - Location: Mumbai Bandra Kurla Complex (BKC) - Work Mode: Hybrid (3 days/week from office) - Contract Duration: 12 Months (C2H) - Budget: Up to 1.70 LPM - Joining: Immediate Joiners Only - Interview Process: In -person interview (mandatory) Ro